Fuzzy predictive control for in-situ bioremediation

Investigates development of an in-situ bioremediation process control system that can optimize the complex physical, chemical, and biological processes involved in in-situ bioremediation. A hybrid fuzzy predictive control system is constructed for real time control of in-situ bioremediation process. This control system consists of three parts: an input/output interface system, a database system and a fuzzy expert system. This control system can handle the inherent uncertainty of the bioremediation simulation model in real time.